Data Science Project -Predicting survival on the Titanic

In this data science project with Python, we will complete the analysis of what sorts of people were likely to survive.You will learn to use various machine learning tools to predict which passengers survived the tragedy.

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What will you learn

Learn machine learning in Python

Python Numpy functions

Learn Python plotting using Matplotlib data science library

Explore Titanic Dataset using Python Pandas

Data Types in Python

Conditional concepts in Python

Looping in Python

What will you get

Access to recording of the complete project

Access to all material related to project like data files, solution files etc.

Prerequisites

Language used: Python

Project Description

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships.This data science project will give you introdcution on how to use Python to apply various machine learning techniques to the RMS Titanic dataset and predict which passenger would have survived the tragedy.

Instructors

Dushyant

Advanced Analytics SME

"He is currently associated with International Store Analytics lab. He is a seasoned Data Science professional with a Master's Degree in Predictive Modeling and 4+ years of experience in building and deploying end-to-end Machine Learning models"